Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28566
Title: An approach to case-based maintenance : selecting representative cases
Authors: Tsang, ECC
Wang, XZ
Keywords: Case-based maintenance
Case-based reasoning
Generalization capability of case
Redundant cases
Representative cases
Issue Date: 2005
Publisher: World Scientific
Source: International journal of pattern recognition and artificial intelligence, 2005, v. 19, no. 1, p. 79-89 How to cite?
Journal: International journal of pattern recognition and artificial intelligence 
Abstract: Case-based maintenance is an important issue in Case-Based Reasoning (CBR) System. Generally speaking, the larger the case-base, the more accurate the solution. However, if the case base is too large, it may include many redundant cases and the case retrieve will not be effective. Moreover redundant cases will affect the solution accuracy. Therefore, removing redundant cases is a fundamental issue in maintaining CBR systems. In this paper, a new approach based on the Generalization Capability of cases to select the representative cases for Case-Based Maintenance is proposed. Using this method, most redundant cases can be deleted and the most representative cases can be identified and retained. The experiments show that the proposed method can greatly remove the redundant cases as well as preserve a satisfying degree of accuracy of solutions when it is used for classification tasks.
URI: http://hdl.handle.net/10397/28566
ISSN: 0218-0014
EISSN: 1793-6381
DOI: 10.1142/S0218001405003909
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Jul 21, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

31
Last Week
0
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.